In addition, there is a precision module that controls the precision of calculations. Well-respected in their field, the authors discuss a variety of numerical topics related to engineering.
Some of the chapter features include The numerical solution of sets of linear algebraic equations Roots of single nonlinear equations and sets of nonlinear equations Numerical quadrature, or numerical evaluation of integrals An introduction to the solution of partial differential equations using finite difference and finite element approaches Describing concise programs that are constructed using sub-programs wherever possible, this book presents many different contexts of numerical analysis, forming an excellent introduction to more comprehensive subroutine libraries such as the numerical algorithm group NAG.
We are constantly surrounded by the products of this revolution. With this book, the author has created a resourceful cache of latest information for aspiring software engineers, preparing them for a productive industry experience. Elaboration on concepts of software development and engineering, the book gives an insightful view of the fundamentals of system design, coding and documentation, software metrics, management and cost estimation.
Based upon the updated university curriculum, this book is a student-friendly work that explains difficult concepts with neat illustrations and examples.
Topic wise discussions on system testing and computer-aided software engineering go a long way in equipping budding software engineers with the right knowledge and expertise. This is a great book for self-based learning and for competitive examinations. It comes with a glossary of technical terms. Author : G. McKeown Publisher: Macmillan International Higher Education ISBN: Category: Computer science Page: View: Read Now » This text gives a clear, but rigorous description of the fundamental mathematical concepts used by computer scientists, while at the same time emphasising the need for careful justification.
The authors provide proofs of all the major results; all the algorithms presented are developed carefully and their performance is analysed. Throughout, the aim is to provide a well balanced treatment of both the discrete and continuous mathematics that should be studied by the serious student of computer science.
The book will therefore be most suited to those undergraduate programmes that put the emphasis on such areas as programming language semantics, program correctness, and algorithm analysis and design. Author : A. It is a high-level language, and is particularly suitable as a starting point for those who wish to learn the fundamentals of object orientation. Eiffel is, however, much more than a teaching language: it incorporates an approach to software development based on ideas of reusability, extendibility and reliability.
Uniquely among object-oriented languages, it was created with mechanisms for making formal assertions about software components, based on the 'design by contract' philosophy. This book provides an introduction to object orientation and a practical introduction to virtually all the features provided by the Eiffel programming language. It is suitable for those with some experience of programming who wish to learn about object-oriented programming.
It will also appeal to those who already have some knowledge of object orientation, and wish to find out about the Eiffel language. After an introductory chapter on object orientation, several of the early chapters review basic concepts required by readers with little formal knowledge of computer programming. From chapter 6 onwards the author examines more difficult issues of object instantiation, copying and comparison, and the use of class libraries for string and array handling.
The book was developed from the author's experiences of running a number of academic and commercial courses on database technology for more than seven years. The text is organised into a number of parts. The introductory chapters set the scene for the core of the text. First, the key features of a database system are described. Then some key concepts are defined.
Part one explores a number of contemporary architectures for database systems. Because of its current dominance, particular emphasis is given to the relational data model. Part two provides a description of the major elements of a contemporary relational database management system: interface, kernel and toolkit.
The issue of distributed database systems is also addressed. The part concludes by reviewing two existing DBMS: one relational; the other object-oriented. Part three presents a discussion of the major techniques utilised in the design and implementation of database systems. The issue of administering data in organisations is also considered. Part four considers new applications for databases. Contact Us. Upload eBook. Privacy Policy. New eBooks.
Search Engine. As computing has changed, so has the role of both the compiler and the compiler writer. The proliferation of processors, environments, and constraints demands an equally large number of compilers. To adapt, compiler writers retarget code generators, add optimizations, and work on issues such as code space or power consumption. Engineering a Compiler re-balances the curriculum for an introductory course in compiler construction to reflect the issues that arise in today's practice.
Authors Keith Cooper and Linda Torczon convey both the art and the science of compiler construction and show best practice algorithms for the major problems inside a compiler.
Explain the linear analysis. Discuss the several phases of a compiler. Mention the front-end phases of a compiler. Describe various compiler construction tools.
Differentiate between patterns, lexeme, and tokens. Explain the function of hierarchical analysis. What is the role of a semantic analysis? Explain the parser concept. Define the various issues in parsing. Define context-free grammar? Explain the derivation concept. Discuss the properties of LR parser. What is ambiguous grammar? Discuss different operations on languages.
What are the different operations of languages? Compiler Design Notes Conclusion The Compiler Design Notes and Study Material mentioned above are well-designed to assist the students at the time of exam preparations. Is Compiler Design hard to study? Question 2. Why study Compiler Design?
Question 3. How can Compiler Design notes help in exam preparation? Question 4. What is the best strategy to crack the Compiler Design exam?
0コメント